Harel Shouval (UT Health, Houston) discusses building models for how time constants of neural circuits adapt to reflect the time constraints of the world. For instance, learning requires associating cues and later rewards, yet the teaching signal (the reward) is temporally distant from the cue itself well outside the timescale of individual neurons.